Iteration Layer vs Jina AI Reader
Jina Reader converts URLs to markdown; Iteration Layer extracts typed fields with confidence scores and citations.
Why developers switch from Jina AI Reader
Jina Reader gives you page content as markdown. Iteration Layer gives you typed fields from a schema — with confidence scores and citations for each value.
Typed JSON, not just page text
Website Extraction applies a schema and returns structured fields with confidence scores and citations — not raw markdown you still need to parse.
Confidence scores and citations
Every extracted value includes a confidence score and a verbatim source citation. Route low-confidence results to human review.
EU-hosted, zero data retention
All processing runs on EU infrastructure. Page content is processed in memory and not retained. DPA available for all plans.
Feature-by-feature comparison
We went through the docs so you don't have to. Here's how every feature compares — including the ones where we're not the better choice.
| Feature | Iteration Layer | Jina AI Reader |
|---|---|---|
| Schema-defined extraction |
Yes
Define fields in a schema and receive typed JSON results |
No
Returns page content as markdown, not schema-based fields |
| Confidence scores |
Per field
Confidence score between 0 and 1 for every extracted field |
No
No confidence scoring |
| Source citations |
Yes
Verbatim source citation from the page for every field |
No
No source citations |
| URL to markdown |
Yes
Available through the Document to Markdown API |
Yes
Core Reader use case |
| EU hosting |
EU only
All processing on EU-hosted servers |
EU endpoints available
Jina documents EU endpoints for some services |
| GDPR / Data privacy |
Zero retention
No page content stored beyond temporary 90-day logs |
Configurable
Reader exposes caching controls, a Do Not Cache or Track option, and experimental EU compliance |
| Data used for training |
Never
Page content is never used to train or improve AI models |
Opt-out controls
Reader documents request-level cache and tracking controls rather than a blanket zero-retention extraction model |
| Pricing model |
Per page
One credit per extraction request |
Token-based
Pricing based on tokens and rate limits |
Pricing
Start usage-based. Switch to a subscription when your volume becomes predictable.
Usage-based
Graduated pricing. Your effective rate decreases automatically as monthly usage grows.
- No monthly commitment
- Pay only for credits used
- Automatic volume discounts as usage grows
Predictable volume
Fixed recurring credit packs with lower effective credit prices for steady usage.
- Lower effective per-credit prices
- Fixed recurring credit packs
- Predictable monthly budget
Try Iteration Layer with 100 credits
Start with one shared trial pool before choosing subscription or pay-as-you-go billing.
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